Weak constraints in four-dimensional variational data assimilation

Full text not archived in this repository.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Watkinson, L.R., Lawless, A.S. orcid id iconORCID: https://orcid.org/0000-0002-3016-6568, Nichols, N.K. orcid id iconORCID: https://orcid.org/0000-0003-1133-5220 and Roulstone, I. (2007) Weak constraints in four-dimensional variational data assimilation. Meteorologische Zeitschrift, 16 (6). pp. 767-776. doi: 10.1127/0941-2948/2007/0249

Abstract/Summary

The formulation of four-dimensional variational data assimilation allows the incorporation of constraints into the cost function which need only be weakly satisfied. In this paper we investigate the value of imposing conservation properties as weak constraints. Using the example of the two-body problem of celestial mechanics we compare weak constraints based on conservation laws with a constraint on the background state.We show how the imposition of conservation-based weak constraints changes the nature of the gradient equation. Assimilation experiments demonstrate how this can add extra information to the assimilation process, even when the underlying numerical model is conserving.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/876
Identification Number/DOI 10.1127/0941-2948/2007/0249
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar